Publications
My research develops methods and systems that enable a wide range of users to obtain trustworthy insights from data. It spans topics in data understanding, large-scale data analysis and integration, visualization, AI and machine learning, provenance management, and information discovery, addressing application areas including urban analytics, computational reproducibility, biomedical data harmonization, and AI for science.
I have co-authored over 250 papers, including 12 award winners and a Test of Time Award.
Selected Recent Publications (2023-present)
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Semantic Data Systems: From Data Management to Data Understanding
Juliana Freire "Semantic Data Systems: From Data Management to Data Understanding." Proceedings of the VLDB Endowment 2026
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Interoperability in Healthcare: A Primer and New Frontiers
Andra Ionescu, Paris Carbone, Sebastiaan Meijer, Christos Koutras, Juliana Freire, Katja Hose, and Jayanth Raghothama "Interoperability in Healthcare: A Primer and New Frontiers." Proceedings of the VLDB Endowment 2026
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MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery
Grace Fan, Eden Wu, Majid Daliri, and Juliana Freire "MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery." Proceedings of the VLDB Endowment 2026
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AgentTrails: Towards Trust and Reuse for Agentic Tasks
Eden Wu, Sonia Castelo, Yurong Liu, Cláudio T. Silva, and Juliana Freire "AgentTrails: Towards Trust and Reuse for Agentic Tasks." ACM SIGMOD DashSys Workshop 2026
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HILTS: Human-LLM collaboration for effective data labeling
Juliana Barbosa, Eduarda Alencar, Grace Fan, Aécio Santos, and Juliana Freire "HILTS: Human-LLM collaboration for effective data labeling." Information Systems 2026
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BDIViz in Action: Interactive Curation and Benchmarking for Schema Matching Methods
Eden Wu, Christos Koutras, Cláudio T. Silva, and Juliana Freire "BDIViz in Action: Interactive Curation and Benchmarking for Schema Matching Methods." Companion of the International Conference on Management of Data 2026
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BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization
Roque Lopez, Yurong Liu, Christos Koutras, and Juliana Freire "BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization." Companion of the International Conference on Management of Data 2026
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BDI-Kit: An AI-powered toolkit for biomedical data harmonization
Roque Lopez, Aécio Santos, Christos Koutras, and Juliana Freire "BDI-Kit: An AI-powered toolkit for biomedical data harmonization." Patterns 2026
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AutoDDG: Automated Dataset Description Generation using Large Language Models
Haoxiang Zhang, Yurong Liu, Aécio Santos, Wei-Lun (Allen) Hung, and Juliana Freire "AutoDDG: Automated Dataset Description Generation using Large Language Models." Proceedings of the ACM on Management of Data 2026
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From FAIR to CURE: guidelines for computational models of biological systems
Herbert M. Sauro, Eran Agmon, Michael L. Blinov, John H. Gennari, Joseph L. Hellerstein, Adel Heydarabadipour, Bartholomew E. Jardine, Elebeoba May, David P. Nickerson, Lucian P. Smith, Gary D. Bader, Frank T. Bergmann, Patrick M. Boyle, Andreas Dräger, James R. Faeder, Song Feng, Juliana Freire, Fabian Fröhlich, James A. Glazier, Thomas E. Gorochowski, Tomas Helikar, Henning Hermjakob, Stefan Hoops, Peter Hunter, Princess I. Imoukhuede, Sarah M. Keating, Matthias König, Reinhard Laubenbacher, Leslie M. Loew, Carlos F. Lopez, William W. Lytton, Rahuman S. Malik-Sheriff, Andrew McCulloch, Pedro Mendes, Lealem Mulugeta, Chris J. Myers, Jerry G. Myers Jr, Anna Niarakis, David D. Van Niekerk, Brett G. Olivier, Alexander A. Patrie, Ellen M. Quardokus, Nicole Radde, Johann M. Rohwer, Sven Sahle, James C. Schaff, Falk Schreiber, T. J. Sego, Janis Shin, Jacky L. Snoep, Rajanikanth Vadigepalli, H. Steven Wiley, Dagmar Waltemath, and Ion I. Moraru "From FAIR to CURE: guidelines for computational models of biological systems." npj Systems Biology and Applications 2026
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Scaling the web: Unraveling online reptile leather trade networks with machine learning and network analysis
G.A. Petrossian, J. Lang, J. Von Ferber, U. Gondhali, B. Lieu, K. Bernstein, J. Barbosa, K. Sharma, S. Chakraborty, and J. Freire "Scaling the web: Unraveling online reptile leather trade networks with machine learning and network analysis." Biological Conservation 2026
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TiVy: Time Series Visual Summary for Scalable Visualization
Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Themis Palpanas, Cláudio T. Silva, and Juliana Freire "TiVy: Time Series Visual Summary for Scalable Visualization." IEEE Transactions on Visualization and Computer Graphics 2026
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Quantizing Sampling-Based Inner Product Sketches
Gabriel M. Silva, Aécio Santos, Majid Daliri, Juliana Freire, and Christopher Musco "Quantizing Sampling-Based Inner Product Sketches." The 2nd Workshop on Vector Databases 2026
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LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
Haonan Wang, Jiaxiang Liu, Yurong Liu, Austin Senna Wijaya, Tianle Zhou, Eden Wu, Yijia Chen, Wanting You, Reya Vir, Daniela Pinto Veizaga, Grace Fan, Yusen Zhang, Juliana Freire, and Eugene Wu "LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake." Proceedings of the International Conference on Machine Learning (ICML) 2026
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Data Gatherer Revisited: Scalable Dataset Reference Extraction from Biomedical Literature
Pietro Marini, Michael Nalls, Mette Peters, Nicole Contaxis, Aécio Santos, and Juliana Freire "Data Gatherer Revisited: Scalable Dataset Reference Extraction from Biomedical Literature." VLDB 2026 Workshop on Biomedical Data Management Systems (BioDMS) 2026
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BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
Eden Wu, Dishita G Turakhia, Guande Wu, Christos Koutras, Sarah Keegan, Wenke Liu, Beata Szeitz, David Fenyo, Cláudio T. Silva, and Juliana Freire "BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation." IEEE Transactions on Visualization and Computer Graphics 2026
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Bridging Disciplines in Data Management Research to Solve Complex Data Problems
Juliana Freire "Bridging Disciplines in Data Management Research to Solve Complex Data Problems." Proceedings of the VLDB Endowment 2025
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Descriptive Analysis of Online Wildlife Products Using Vision Language Models
Kinshuk Sharma, Juliana Silva Barbosa, Spencer Roberts, Ulhas Gondhali, Gohar Petrossian, Jennifer Jacquet, Juliana Freire, and Sunandan Chakraborty "Descriptive Analysis of Online Wildlife Products Using Vision Language Models." Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies 2025
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Hierarchical Table Semantics for Exploratory Table Discovery
Grace Fan, and Juliana Freire "Hierarchical Table Semantics for Exploratory Table Discovery." Proceedings of the Workshop on Human-In-the-Loop Data Analytics 2025
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Editorial for Special Issue: VLDB 2022
Juliana Freire, Fatma Özcan, and Xuemin Lin "Editorial for Special Issue: VLDB 2022." The VLDB Journal 2025
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A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces
Juliana Silva Barbosa, Ulhas Gondhali, Gohar Petrossian, Kinshuk Sharma, Sunandan Chakraborty, Jennifer Jacquet, and Juliana Freire "A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces." Proceedings of the ACM on Management of Data 2025
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Prevalence of endangered shark trophies in automated detection of the online wildlife trade
Sunandan Chakraborty, Spencer N. Roberts, Gohar A. Petrossian, Monique Sosnowski, Juliana Freire, and Jennifer Jacquet "Prevalence of endangered shark trophies in automated detection of the online wildlife trade." Biological Conservation 2025
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Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu, Eduardo H. M. Pena, Aécio Santos, Eden Wu, and Juliana Freire "Magneto: Combining Small and Large Language Models for Schema Matching." Proceedings of the VLDB Endowment 2025
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How can we make sound replication decisions?
Clintin P. Davis-Stober, Alexandra Sarafoglou, Balazs Aczel, Suyog H. Chandramouli, Timothy M. Errington, Sarahanne M. Field, Ayelet Fishbach, Juliana Freire, John P. A. Ioannidis, Klaus Oberauer, Franco Pestilli, Susanne Ressl, Daniel J. Schad, Judith Ter Schure, Katya Tentori, Don Van Ravenzwaaij, Joachim Vandekerckhove, and Odd Erik Gundersen "How can we make sound replication decisions?." Proceedings of the National Academy of Sciences 2025
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Large Language Models for Data Discovery and Integration: Challenges and Opportunities
Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo H. M. Pena, Aecio Santos, Claudio Silva, and Eden Wu "Large Language Models for Data Discovery and Integration: Challenges and Opportunities." IEEE Data Engineering Bulletin 2025
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Large Language Models for Data Discovery and Integration: Challenges and Opportunities
Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo Peña, Aécio S. R. Santos, Cláudio T. Silva, and Eden Wu "Large Language Models for Data Discovery and Integration: Challenges and Opportunities." IEEE Data Eng. Bull. 2025
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Interactive Data Harmonization with LLM Agents
Aécio Santos, Eduardo Pena, Roque Lopez, and Juliana Freire "Interactive Data Harmonization with LLM Agents." ACM SIGMOD NOVAS workshop 2025
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Gene Set Function Discovery with LLM-Based Agents and Knowledge Retrieval
Daniela Pinto Veizaga, Aécio Santos, Juliana Freire, Wenke Liu, Sarah Keegan, and David Fenyo "Gene Set Function Discovery with LLM-Based Agents and Knowledge Retrieval." ICLR 2025 Workshop on Machine Learning for Genomics Explorations (MLGenX) 2025
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Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature
Pietro Marini, Aécio Santos, Nicole Contaxis, and Juliana Freire "Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature." Proceedings of the Fifth Workshop on Scholarly Document Processing (SDP 2025) 2025
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The Singularity in Data and Computation-Driven Science: Can It Scale Beyond Machine Learning?
Juliana Freire "The Singularity in Data and Computation-Driven Science: Can It Scale Beyond Machine Learning?." Harvard Data Science Review 2024
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Sampling Methods for Inner Product Sketching
Majid Daliri, Juliana Freire, Christopher Musco, Aécio Santos, and Haoxiang Zhang "Sampling Methods for Inner Product Sketching." Proceedings of the VLDB Endowment 2024
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Efficiently Estimating Mutual Information Between Attributes Across Tables
Aécio Santos, Flip Korn, and Juliana Freire "Efficiently Estimating Mutual Information Between Attributes Across Tables." 2024 IEEE 40th International Conference on Data Engineering (ICDE) 2024
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ArcheType: A Novel Framework for Open-Source Column Type Annotation Using Large Language Models
Benjamin Feuer, Yurong Liu, Chinmay Hegde, and Juliana Freire "ArcheType: A Novel Framework for Open-Source Column Type Annotation Using Large Language Models." Proceedings of the VLDB Endowment 2024
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Enhancing Biomedical Schema Matching with LLM-based Training Data Generation
Yurong Liu, Aécio Santos, Eduardo H. M. Pena, Roque Lopez, Eden Wu, and Juliana Freire "Enhancing Biomedical Schema Matching with LLM-based Training Data Generation." NeurIPS 2024 Third Table Representation Learning Workshop 2024
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BugDoc: Iterative debugging and explanation of pipeline
Raoni Lourenço, Juliana Freire, Eric Simon, Gabriel Weber, and Dennis Shasha "BugDoc: Iterative debugging and explanation of pipeline." The VLDB Journal 2023